Location: | London |
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Salary: | £53,964 per annum plus excellent benefits |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 23rd March 2023 |
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Closes: | 10th April 2023 |
Senior Data Analyst (project lead)
12-month maternity cover contract
Number of Openings: 1
Full time role and hybrid working with at least 1 day in our London office each week
Location: Salisbury Square, EC4Y 8AP
The Health Foundation is an independent charity committed to bringing about better health and health care for people in the UK.
This is a superb opportunity for an experienced data analyst to join an analytical team working to address key challenges in health and care. The analyst will lead projects and work collaboratively to create high quality innovative analytical products. The role includes: leading on the design and delivery of analytical studies; interpreting and communicating results; writing and data visualisation; reviewing data sources, literature and policy; data cleaning, derivation and analysis.
Suitably qualified, you will have demonstrable experience of leading analytical projects, working with large health datasets, and producing analytical outputs for a range of audiences. You enjoy writing, have a keen interest in health policy, are an excellent communicator and are proficient in R or other analytical software.
You will have a passion for improving health outcomes and a commitment to our core behaviours - Working Together, Discovering & Learning and Achieving Impact.
To find out more about the role and what we are looking for, please read the job description.
To apply for this role please submit your CV and a supporting statement which addresses each of the person specification criteria flagged as essential (via the ‘Apply’ button above).
Application deadline: 23:59, Monday 10 April 2023
Interview date: Provisionally scheduled to take place remotely w/c 24 April 2023
We value equality, diversity and inclusion, and welcome applications from different backgrounds. We are also committed to making reasonable adjustments for candidates who have accessibility requirements.
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